| Upload Date | November 10 2025 07:54 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7400
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
15636
2.91 KIPS |
|
|
Image Classification (Q)
|
99% |
6628
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12735
206.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18208
295.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11778
191.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92263
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
294209
343.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
77740
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
10016
794.5 IPS |
|
|
Object Detection (HP)
|
100% |
16113
1.28 KIPS |
|
|
Object Detection (Q)
|
83% |
8602
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
23895
283.9 IPS |
|
|
Face Detection (HP)
|
100% |
38088
452.6 IPS |
|
|
Face Detection (Q)
|
97% |
21029
250.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45501
350.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96390
742.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36537
292.1 IPS |
|
|
Style Transfer (SP)
|
100% |
144128
185.3 IPS |
|
|
Style Transfer (HP)
|
100% |
499117
641.6 IPS |
|
|
Style Transfer (Q)
|
98% |
125560
161.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26307
971.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49935
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21277
787.8 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4468
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1768
33.2 IPS |